Abstract
Soil surface wetness is indispensable land surface parameter in agriculture, hydrology and environmental engineering. This paper explores the relationship between surface radiant temperature and fractional vegetation cover derived from satellite imagery to estimate soil surface wetness (triangle method) in Allahabad district. The pixel distributions create triangular shapes because the range of surface radiant temperature decreases as the amount of vegetation cover increases and sufficient number of pixels exists. A very weak correlation is found between the simulated soil surface wetness and ground measured soil moisture at deeper soil layers (R2
Highlights
The demand for spatially distributed land surface information such as soil surface wetness in agriculture, hydrology and environmental engineering is increasing exponentially than before [1]
Soil surface wetness influences the interactions between the land surface and atmospheric processes such as partitioning of energy into sensible and latent heat fluxes [2]
This paper is aimed at using the Triangle Method to estimate soil surface wetness in Allahabad district of Uttar Pradesh, India
Summary
The demand for spatially distributed land surface information such as soil surface wetness in agriculture, hydrology and environmental engineering is increasing exponentially than before [1]. Soil surface wetness influences the interactions between the land surface and atmospheric processes such as partitioning of energy into sensible and latent heat fluxes [2]. How to cite this paper: Kasim, A.A. and Usman, A.A. (2016) Triangle Method for Estimating Soil Surface Wetness from Satellite Imagery in Allahabad District, Uttar Pradesh, India. Journal of Geoscience and Environment Protection, 4, 84-92.
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